Related Children Ages 5 to 17 in Families in Poverty
by New Mexico County


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Related Children Ages 5 to 17 in Families in Poverty
New Mexico Counties
2003
         
90% 90%
Confidence Confidence
Area Number Interval Percent Interval
New Mexico 85,331 78,560 to 92,102 24.2 22.3 to 26.1
Bernalillo 18,987 13,998 to 23,976 18.9 13.9 to 23.9
Catron 153 104 to 202 33.5 22.8 to 44.1
Chaves 3,529 2,532 to 4,526 30.5 21.9 to 39.1
Cibola 1,534 1,075 to 1,993 28.4 19.9 to 36.9
Colfax 529 378 to 680 23.5 16.8 to 30.3
Curry 2,552 1,826 to 3,278 27.5 19.7 to 35.3
De Baca 78 55 to 101 25.3 17.7 to 33.0
Dona Ana 12,162 8,890 to 15,434 33.6 24.5 to 42.6
Eddy 2,402 1,739 to 3,065 24.1 17.4 to 30.7
Grant 1,462 1,057 to 1,867 29.4 21.2 to 37.5
Guadalupe 185 130 to 240 27.7 19.4 to 36.0
Harding 19 13 to 25 18.3 12.1 to 24.5
Hidalgo 360 255 to 465 33.3 23.5 to 43.0
Lea 2,637 1,912 to 3,362 23.9 17.3 to 30.4
Lincoln 758 541 to 975 24.0 17.1 to 30.9
Los Alamos 83 55 to 111 2.5 1.7 to 3.4
Luna 2,042 1,453 to 2,631 39.1 27.8 to 50.3
McKinley 7,223 5,093 to 9,353 38.5 27.2 to 49.9
Mora 259 184 to 334 30.2 21.4 to 39.0
Otero 2,966 2,096 to 3,836 23.7 16.8 to 30.7
Quay 504 362 to 646 32.9 23.6 to 42.2
Rio Arriba 1,845 1,325 to 2,365 23.9 17.2 to 30.7
Roosevelt 1,023 737 to 1,309 30.8 22.2 to 39.4
Sandoval 3,154 2,281 to 4,027 15.6 11.3 to 19.9
San Juan 6,429 4,552 to 8,306 24.0 17.0 to 31.1
San Miguel 1,527 1,087 to 1,967 29.4 20.9 to 37.9
Santa Fe 3,622 2,624 to 4,620 16.4 11.9 to 20.9
Sierra 615 431 to 799 34.2 24.0 to 44.5
Socorro 1,175 835 to 1,515 35.3 25.1 to 45.5
Taos 1,351 983 to 1,719 27.1 19.7 to 34.5
Torrance 982 683 to 1,281 28.3 19.7 to 36.9
Union 166 116 to 216 24.3 17.0 to 31.7
Valencia 3,018 2,182 to 3,854 22.0 15.9 to 28.1
Note:  These are estimates modeled from the relation between poverty and tax and program data
for the states and a subset of counties using estmimates of poverty from the Current Population
Survey (CPS) Annual Social and Economic Supplement (ASEC).  The modeled relations are used
to obtain estimates for all states and counties.  Estimating measures of uncertainty is an integral
part of the overall process.  Estimated standard errors provide confidence intervals around each
estimate that can be used to evaluate the quality of the estimate.
Source: U.S. Census Bureau, Data Integration Division, Small Area Estimates Branch,
Small Area Income and Poverty Estimates (SAIPE).
Table prepared by:  Bureau of Business and Economic Research, University of New Mexico.


Bureau of Business & Economic Research, UNM / bber@unm.edu
Last Revised: 1/14/08